Serverless Generative AI with Java on AWS
Seating is limited -- Register Now!
at Live, virtual workshop
Language: English
Price: 150€ (+19% MwSt. [VAT])
Building serverless generative enterprise Java applications with AWS Bedrock.
This workshop is a continuous review of ready-to-use templates, examples, and patterns of serverless applications on Amazon Web Services, focusing on serverless. We will use Infrastructure as Java Code: AWS Cloud Development Kit (CDK v2) for Java and use Maven repositories to quickly build and share the code.
In this workshop, I won't implement each application from scratch, rather than walk through already prepared ready-to-use examples and templates reflecting common patterns and adjust them to more specific use cases.
All changes, attendees' requests, and suggestions will be committed to a git repository in real-time.
Prerequisites
Basic AWS, database and Java SE / Java EE / Jakarta EE / MicroProfile experience.
Topics
After a a short introduction to AWS basics (VPC, IAM, accounts, storage and organizations), we will cover the following templates and use cases:
- Basics and definitions: Machine Learning, Deep learning, Generative AI overview
- AI integration with traditional enterprise applications
- Building AI applications with AWS Lambda
- Foundational models: Text-to-text, Text-to-embeddings, Multimodal
- What are tokens?
- Combining LLMs
- AI usecases for Java applications
- Implementing RAG: Retrieval Augmented Generation use cases with serverless Java
- Building Jakarta EE / MicroProfile applications with Quarkus and langchain4j
- Introduction to Vector Databases
- Serverless Java with serverless AI
- Logging, metrics and trouble shooting
- Cost estimation
- Serverless AI: on-demand vs. provisioned throughput
- Building agents
- Building Enterprise Java application with AWS Bedrock
- Using private endpoints
- Fine tuning with custom data
- CI/CD and automation
- TBD
- ...and most popular questions, topics and approaches from airhacks.tv
In this advanced workshop I will combine serverless cloud native Java / MicroProfile applications on AWS Lambda with serverless generative AI on AWS Bedrock.
All AWS resources will be provisioned with Maven and CDK v2 Java edition. As a reference, you will get a GIT repository with all snippets and solutions, as well as prepared sample applications.
A developer laptop with pre-installed Java 21 (AWS Lambda currently only runs on Corretto 21), GIT-client, AWS CLI, and Maven 3 is required to run the examples. You can run the examples if you like, or "hack" along with me, but taking notes is perfectly viable as well.
I will use my AWS account to live deploy the applications and explain various AWS services.
Environment requirements / prerequisites.
I/we will spend 80% of the time in code--it also highly depends on your questions.
Feel free to contact me / register via email: workshops[-AT-] adam-bien.com